Prevalent AI, an enterprise data fabric startup, has raised £16 million from Integrity Growth Partners. The investment will fund the scaling of a global go-to-market organisation, expansion into the U.S., additions to the leadership team, and an extension beyond cybersecurity into broader enterprise risk use cases.
Large enterprises run thousands of systems, controls, identities and data sources that were never designed to work together, leaving teams with plenty of tools and data but very little context. Prevalent AI's data fabric combines hundreds of fragmented enterprise data sources into a continuously updated sovereign knowledge graph, giving organisations a trusted source of context that lets both people and AI systems understand what exists across the enterprise, how it relates, and where operational gaps remain. Alongside the platform, customers use a white-glove managed service to reduce time to value, accelerate enterprise-wide adoption and support extended and custom use cases.
Enterprises will spend an estimated $240 billion on information security in 2026, according to Gartner, yet much of that investment continues to generate more disconnected data than actionable insight. Gartner also predicts that more than 40% of agentic AI projects will be cancelled by the end of 2027, citing escalating costs, unclear business value and inadequate risk controls.
Founded in 2017 by Paul Stokes and Arun Raj alongside a team with intelligence-community heritage, including former Director of GCHQ Sir Iain Lobban and Andrew France, Deputy Director for Cyber Defence Operations at GCHQ, the business grew for nearly a decade without external growth capital and has been profitable since its first customer. Annual recurring revenue has more than doubled over the past twelve months. The new funding follows the recent appointments of Stuart Barnard as Chief Financial Officer and Mike East as SVP of Global Sales, with Integrity Growth Partners working alongside the leadership team as the commercial organisation scales.
Large enterprises do not have a shortage of tools or data. They have a shortage of context. Security teams are being asked to make decisions across thousands of systems, controls, identities, and data sources that were never designed to work together. For almost a decade, we have been using AI to continuously clean, connect, and contextualise enterprise data so organisations can see what exists, what is working, where the gaps are, and what needs attention. We started with security because that is where fragmented data does the most damage. The investment from Integrity Growth Partners allows us to scale our business beyond cybersecurity into every enterprise function where decisions depend on connected, trusted data.
Paul, Arun, and the team have built something rare: genuinely differentiated, AI-native technology that the most sophisticated enterprises in the world rely on, all while maintaining remarkable capital discipline. As enterprise security stacks grow more complex and agentic AI raises the stakes on data quality and depth, the need for Prevalent AI's unified, context-driven foundation will only intensify. We have deep respect for what the founding team has built, patiently and with real substance, and we are proud to partner with them as they lead the company into its next stage of growth.
